Sr Analyst, DTC Insights

** Sr Analyst - DTC Insights*
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* Job Summary:

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* The DTC Insights team within Enterprise Research & Analytics, are currently seeking a Sr Analyst to support strategic growth, engagement and retention insights. Reporting to the Sr. Manager, you will work closely with teams across DTC - including Product & Tech, Marketing, Strategy, and Content - supporting quantitative and qualitative research initiatives.

We're looking for a dedicated team-player with an entrepreneurial spirit, who thrives upon the outstanding legacy of our company yet embraces non-traditional thinking, and who is passionate about contributing to The Walt Disney Company's direct-to-consumer experience.

** Responsibilities:*
* + Manage processes in the planning and executing qualitative and quantitative research studies and analyses (i.e. questionnaire development, programming, and testing surveys, analyzing results, and producing final reports), both as in-house DIY studies and with external research partners.

+ Support ongoing tracking initiatives among the DTC subscriber base, maintaining efficient processes, coordinating with external vendors, and leveraging data sets to uncover insights on a monthly basis.

+ In partnership with the Senior Manager, develop actionable insights and strategies to address key business objectives, by synthesizing relevant data sources (primary, secondary, or first-party) to tell a clear and holistic story.

+ Assist in acquiring and managing research tools as required to meet the needs of internal custom experience tracking

+ Respond to time sensitive data requests from internal clients

+ Support presentation of findings based on research conducted and contribute to related business discussions

+ Stay abreast of current trends and new techniques in the field of market research and the rapidly changing landscape across the entertainment industry

+ Build and maintain relationships within the team and research counterparts from other divisions of The Walt Disney Company as well as external vendors

+ This position will be in office 4 days per week and one day at home (Fridays).  In office will be both in Santa Monica and Burbank.

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* Basic Qualifications:

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* + Bachelor's Degree in Business, Marketing, Psychology or related field or equivalent experience

+ 3+ years quantitative and qualitative market research experience - either supplier-side, client-side, or some combination thereof, including project management

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Experience with managing all phases in successful execution of research projects, including managing timelines, questionnaire design, data collection and analysis, reporting and presentations.  Proven ability to manage multiple projects at a given time.

+ Strong data analysis skills, particularly with large quantitative or qualitative datasets, and enjoys problem solving

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Experience with SPSS, Reporter, Q or Marketsight or other cross-tabbing tool

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Experience with survey platforms such as Qualtrics, Survey Monkey, etc. is a plus

+ Collaborative partner and teammate who can build good rapport, communicate effectively, and influence others when needed

+ Strong project and vendor management skills

+ Confident communicator with solid verbal and written communication skills, including the ability to summarize ideas through visual storytelling

+ Strong attention to detail without losing sight of broader objectives

+ Flexible, quick learner, problem solver, and a strong, pro-active work ethic

+ Able to work autonomously as well as part of a team

+ Intellectual curiosity and a passion for innovation

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* Preferred Qualifications:

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* + Experience working on entertainment or technology consumer research, with an emphasis on SVOD, TV, and/or In-Home content consumption

+ International Market Research experience

+ Proficiency with SQL, with the ability to extract and combine disparate data sources to develop a rich, complete picture for the business

+ Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar

+ Familiarity with R, Python, SAS, STATA or similar programming languages

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Experience with non-primary data sources (secondary research, social media…